Cognitive Systems in Autonomous Vehicles
The idea of self-driving cars goes back to the beginning of the last century. But it never received as much attention as today. The technological advancement of computational power, storage capabilities and miniaturization of sensors allowed the development of sophisticated algorithms necessary to have self-driving cars. GohringThe Freie Universität Berlin is performing research on self-driving cars since 2006. This talk will present research results of the autonomous car project at FU Berlin with focus on computer vision and applied machine learning methods for object tracking and classification as well as on swarm behavior, maps, and planning algorithms.
Prof. Daniel Goehring graduated in 2004 from Humboldt-Universität zu Berlin in Computer Science, where he also received his PhD in 2009 in the field of soccer playing robots. He spent one year at the German Aerospace Center (DLR) on traffic simulation. Daniel started his research on self-driving cars at the Freie Universität Berlin in 2010 where worked on planning and control algorithms. From 2012, he spent 2 years at the ICSI and University of California in Berkeley, USA, working on computer vision, robotics, and machine learning. He started a Juniorprofessor position in 2015 at FU Berlin to continue his work on self-driving cars.